Receipt OCR API
Automatically extract key information from receipts in your application
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Capture essential receipt data
Extract merchant name, total amount, taxes, payment method, date, and currency.
Itemized purchase parsing
Detect product names, quantities, prices, and discounts in multi-line purchase tables.
Works with all receipt layouts
From small paper receipts to long supermarket rolls, Mindee adapts automatically—no templates needed.
Designed for software integration:
Structured JSON output
Extract merchant, total, currency, and line items in a standardized format.
Designed for mobile and scan inputs
Handles varying photo quality, lighting, and formats from real users.
Global format support
Extract receipts in dozens of languages and local layouts across countries.
Easy to integrate
RESTful API with SDKs in Python, JS, and Postman-ready examples for fast implementation.
Transform your workflow with:
Upload via mobile or scanner
Users submit paper or digital receipts through apps, portals, or backend ingestion.
Extract all key fields automatically
Mindee pulls merchant name, date, totals, line items, and payment method instantly.
Normalize and structure the output
Returns standardized data for each field, regardless of input format.
Push to accounting, payroll, or reports
Send parsed results directly into expense tools, ERPs, or finance dashboards.
Mindee makes receipt processing fast, scalable, and accurate:
- Capture scanned or photographed receipts
- Extract key fields and line-item data
- Validate totals and tax match
- Categorize expenses by vendor or item
- Store for audit and compliance
- Sync with accounting or expense software
Trained on diverse real-world receipts
Handles poor lighting, skewed scans, and long-form grocery receipts.
No need for templates or manual setup
Works out of the box across regions and merchant types.
Supports global currencies and formats
Recognizes and parses regional tax structures, currencies, and languages.
Built for speed and scale
Processes thousands of receipts per minute with stable response times.
Confidence-scored output
Every field includes a confidence score—ideal for automated review and exception handling.
Secure and compliant
SOC 2 Type II, GDPR-compliant, encrypted end-to-end—trusted by fintechs and enterprises alike.
receipt OCR API
Start automating your fraud workflow today. Get started with a free trial or schedule a demo to learn more.
Frequently Asked Questions
Common questions about our intelligent document processing solutions.
How can I test the receipt OCR API?
The receipt OCR API is available to any user having an account on our platform and includes a 14 days free trial.To test our APIs, you only have to create an account using this link, and you'll be able to upload file in our user interface to see ID OCR in action, as well as the json output.
Is Mindee's receipt OCR API free to use?
We provide a 14 days free trial so you can fully test our Receipt OCR API — no credit card required. After this, we offer different pricing tiers depending of the volume of pages processed and the features you might need. See the pricing page for more information
Receipt OCR : What are the supported countries?
What are the supported countries?
Our receipt OCR API is based on our computer vision technology that doesn't rely on text to extract the receipt data, but only on the image. This removes the language limitations.
The OCR was trained with receipts from more than 50 countries and works on receipts from all around the world for numeric fields, and all Latin alphabet countries for text ones.
How complicated is it to integrate the receipt OCR API?
How complicated is it to integrate the API?
Mindee's API follows HTTP standards in order to allow any developer to integrate the receipt OCR API into their applications easily.We also offer a set of client libraries in all the main back-end languages and no-code tools. You can check out our API documentation for more details.
What is the receipt OCR accuracy?
Accuracy of our receipt API is generally above 95% for most fields. We compute accuracy and precision metrics every week on an evolutive dataset that includes more than 50 countries with a wide variety of receipt (formats, languages, qualities etc..). By activating some of our features, accuracy can be even closer to 100% by fine tuning your model to your use case. Feel free to try out yourself and see how it works on your data.
What's the average API response time?
The processing time is around 1.3 seconds per page for pdfs and 0.9 seconds for a invoice image.
We often improve this processing time and our target is below 500ms. Our goal is to make sure you can create real-time user experiences in your application.
Does the receipt OCR work on low-quality images?
Does the OCR work on low-quality images?
Yes, our models like the receipt models are trained on diverse real-world datasets to handle constraints such as blurriness, folds, ink stains... This ensures optimal extraction performance on documents of varying quality.
Do you offer technical support?
We have a Slack community where you can ask your questions and chat with our team.
We don't do the integration in your infrastructure ourselves but we can set up a custom level of support on a per-case basis if needed.